Best 21 Data Quality Tools for Apache Airflow (2026)

Managed agentic data platform built on OpenMetadata that ingests Airflow pipelines through the REST API or the Airflow metadata database, with table lineage from the OpenLineage provider.

Open-source context platform that ingests Airflow pipelines through the REST API or the Airflow metadata database, with table lineage from the OpenLineage provider.

Managed data and AI control plane by Boomi that collects Airflow job run URLs, names, and IDs for lineage nodes, and can trigger syncs from Airflow through a webhook.

Enterprise AI trust platform that provides bigeye-airflow operators that run metrics from a DAG, optionally stopping it as a circuit breaker, and send dbt Core run results.

Data and AI observability control plane that connects to self-hosted Airflow, MWAA, or Cloud Composer to show DAG run status and failed or late runs in its catalog and lineage.

Data observability, quality, and lineage platform that collects Airflow DAGs, runs, and tasks through the Airflow API and monitors job failures.

Data + AI observability platform that receives DAG and task run events through airflow-mcd callbacks, without Airflow credentials, and alerts on DAG failures.

Autonomous data and AI platform that provides an Airflow SDK with DAG and operator classes that record each DAG run as a pipeline run, closed by success and failure callbacks.

Open-source dbt package by Boomi that collects Airflow job run URLs, names, and IDs for lineage nodes, and can trigger syncs from Airflow through a webhook.

Open-source data quality operations center that provides Airflow operators in the dqops package that run checks, collect statistics, and fail DAGs when a table has fatal issues.

Data observability platform by Datadog that provides airflow-metaplane DAG and task callbacks that send runs to Metaplane for runtime monitoring.

Agentic data quality and observability platform that provides a validio-airflow module with a hook, operators to poll sources and fetch metrics, and a sensor that waits on incidents.

AI-native data quality platform that lets Airflow callbacks notify DQLabs of task status, with circuit breakers that act on data quality score conditions.

Data quality product by Coalesce, built on SYNQ, that ingests Airflow metadata through OpenLineage or DataHub plugin events sent to its endpoint with an API token.

AI-powered data operations center with data and pipeline observability, cross-platform pipeline lineage, and automated root-cause analysis.

Autonomous data quality monitoring platform where AI agents monitor, investigate, and report issues across structured and unstructured data.

Data quality control layer that validates data where it's used, with checks auto-generated from profiling, anomaly detection, and quality context for AI agents.

Zero-code data quality software where AI agents auto-discover rules, validate and reconcile data, and score data trust across sources.

AI-native data quality platform built on data contracts that runs Soda scans inside Airflow tasks with a PythonOperator and fails the task when checks fail.

Open-source data contracts engine that runs Soda scans inside Airflow tasks with a PythonOperator and fails the task when checks fail.

Open-source Python data quality framework, stewarded by Fivetran, with 50+ declarative expectations to validate files, SQL databases, warehouses, and DataFrames.